CLOUD

SURREY, UK -- Open Clustering and Scyld Computing Corporation announce partnership, and Open Clustering becomes a member of the Scyld Authorised Vendor program. High-performance cluster deployments from Open Clustering will feature pre-integrated, supported hardware systems installed and configured with Scyld Beowulf Professional Edition. Additionally, Open Clustering will offer a variety of Scyld technical support packages and training to clients of their high-performance cluster products. Scyld Computing Corporation develops and supports software for high-performance computing. Their Scyld Beowulf software is the next generation in high performance computing cluster operating systems. It provides simplified cluster integration and setup, minimal administration, and seamless scalability. It also fills the need for a stable, standard, supported platform for the deployment of advanced clustering applications. CTO, Don Becker, technical leader of original Beowulf project team at NASA, states, "We are excited to be working with Open Clustering. The combination of the Scyld Beowulf with Open Clustering's products along with the support of both of our technical teams will provide a very powerful, high quality solution to meet the needs of commercial users." "Our intention for Open Clustering has always been to offer an unrivalled array of solid enterprise platforms. Coupled with Scyld's professional backup and support, our client's have a direct line to knowledgeable engineers and into the heart of the team who develop the Beowulf product.", announced Mr James Chivers, Open Clustering's CTO, "Our clients demand a very high level of professional cluster installation, customisation and training - our partnership with Scyld will enable Open Clustering to fulfill these demands." Open Clustering's flagship product - the Samurai Blade Server - is fully tested and internally certified as 100% Professional Beowulf compatible - ensuring that clients receive a stable, reliable and high-performance enterprise level platform. For additional information visit www.openclustering.com